Literature DB >> 7537625

Prediction of survival of patients terminally ill with cancer. Results of an Italian prospective multicentric study.

M Maltoni1, M Pirovano, E Scarpi, M Marinari, M Indelli, E Arnoldi, M Gallucci, L Frontini, L Piva, D Amadori.   

Abstract

BACKGROUND: The individualization of prognostic factors in the various stages of cancer facilitates the planning of a therapeutic assistance program aimed at various subsets of patients. The prognostic factors for survival in patients terminally ill with cancer have been investigated in case studies that are often retrospective, monocentric and/or include a mixture of patients in advanced disease stages. The aim of this prospective multicentric study was to verify those clinical factors predictive of survival in a population of patients with terminal cancer.
METHODS: This prospective and multicentric study was performed on 540 patients with solid tumors in the disseminated phase, no longer subject to specific therapy. Patients were evaluated at study entry and every 4 weeks thereafter. The analysis was performed for 23 clinical parameters.
RESULTS: Of 530 assessable patients with a median survival of 32 days, 15 factors were found to be statistically significant prognostic factors. By univariate analysis, 13 factors were found to be indicators of a worse survival: age older than 65 years (P = 0.05); palliative corticosteroid treatment (P < 0.001), anorexia (P < 0.001); dry mouth (P < 0.001); dysphagia (P < 0.001); hospitalization (P < 0.001); transfusion (P < 0.001); weight loss greater than or equal to 10% (P = 0.001); dyspnea (P = 0.01); pain (P = 0.006); increasing amount of pain-killer treatment (P = 0.01); increasing number of symptoms (P < 0.001); and worse clinical prediction of survival (P < 0.001). Two factors that correlated with a better survival rate were palliative progestin treatment (P = 0.03) and a higher Karnofsky performance status (P < 0.001). Multiple regression analysis revealed that only clinical prediction of survival, anorexia, dyspnea, palliative steroidal treatment, Karnofsky performance status, and hospitalization were independent predictors of survival.
CONCLUSIONS: The importance of certain clinical parameters as prognostic indicators for patients with terminal cancer (clinical experience, physical activity level, clinical symptoms relating to and unrelated to nutritional state) were confirmed; some others possible factors, such as treatment with corticosteroids and hospitalization, also were noted. These may be useful factors in the therapeutic, assistance decision-making process and may eliminate overtreatment and undertreatment resulting from philosophically preconceived attitudes, rather than from considering the patient's true pathologic condition.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7537625     DOI: 10.1002/1097-0142(19950515)75:10<2613::aid-cncr2820751032>3.0.co;2-1

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  38 in total

1.  Appropriate time frames for data collection in quality of life research among cancer patients at the end of life.

Authors:  Siew Tzuh Tang; Ruth McCorkle
Journal:  Qual Life Res       Date:  2002-03       Impact factor: 4.147

2.  Development of a lack of appetite item bank for computer-adaptive testing (CAT).

Authors:  Lise Holst Thamsborg; Morten Aa Petersen; Neil K Aaronson; Wei-Chu Chie; Anna Costantini; Bernhard Holzner; Irma M Verdonck-de Leeuw; Teresa Young; Mogens Groenvold
Journal:  Support Care Cancer       Date:  2014-11-14       Impact factor: 3.603

3.  Survival prediction for terminally ill cancer patients: revision of the palliative prognostic score with incorporation of delirium.

Authors:  Emanuela Scarpi; Marco Maltoni; Rosalba Miceli; Luigi Mariani; Augusto Caraceni; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2011-10-31

4.  Novel clinical staging for patients with end-stage gastrointestinal carcinoma.

Authors:  Naokuni Yasuda; Osamu Nakashima; Toru Ohnaka; Koji Kamisaka; Akira Tsunoda; Mitsuo Kusano
Journal:  Surg Today       Date:  2006       Impact factor: 2.549

5.  Validation of the Cochin Risk Index Score (CRIS) for life expectancy prediction in terminally ill cancer patients.

Authors:  Jean-Philippe Durand; Olivier Mir; Romain Coriat; Anatole Cessot; Sylvain Pourchet; François Goldwasser
Journal:  Support Care Cancer       Date:  2011-04-16       Impact factor: 3.603

6.  Defining the clinical condition of cancer patients: it is time to switch from performance status to nutritional status.

Authors:  Anatole Cessot; Xavier Hebuterne; Romain Coriat; Jean-Philippe Durand; Olivier Mir; Christine Mateus; Wulfran Cacheux; Etienne Lemarie; Mauricette Michallet; Claude Beauvillain de Montreuil; François Goldwasser
Journal:  Support Care Cancer       Date:  2011-03-10       Impact factor: 3.603

7.  Measuring the quality of later life.

Authors:  C A O'Boyle
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1997-12-29       Impact factor: 6.237

8.  Effects of nutritional and psychological status of the patients with advanced stomach cancer on physical performance status.

Authors:  Jun Tian; Zhen-chun Chen; Li-Fang Hang
Journal:  Support Care Cancer       Date:  2009-01-27       Impact factor: 3.603

9.  A longitudinal study of the role of patient-reported outcomes on survival prediction of palliative cancer inpatients in Taiwan.

Authors:  Jing-An Chang; Chia-Chin Lin
Journal:  Support Care Cancer       Date:  2009-02-12       Impact factor: 3.603

10.  Variation by stage in the effects of prediagnosis weight loss on mortality in a prospective cohort of esophageal cancer patients.

Authors:  S Shen; J L Araujo; N K Altorki; J R Sonett; A Rodriguez; K Sungur-Stasik; C F Spinelli; A I Neugut; J A Abrams
Journal:  Dis Esophagus       Date:  2017-09-01       Impact factor: 3.429

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.